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Learning a matching function between two text sequences is a long standing problem in NLP research.
Noise-contrastive estimation for answer selection with deep neural networks
Jinfeng Rao, Hua He, and Jimmy J. Lin. 2016 · 1916
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Adam: A method for stochastic optimization
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Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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Extracting lexically divergent paraphrases from twitter
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Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2015 · 2015
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A large annotated corpus for learning natural language inference
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Multi-perspective sentence similarity modeling with convolutional neural networks
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The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems
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Convolutional neural tensor network architecture for community-based question answering
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Pacrr: A position-aware neural ir model for relevance matching
Kai Hui, Andrew Yates, Klaus Berberich, and Gerard de Melo. 2017 · 2017
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A continuously growing dataset of sentential paraphrases
Wuwei Lan, Siyu Qiu, Hua He, and Wei Xu. 2017 · 2017
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Learned in translation: Contextualized word vectors
Bryan McCann, James Bradbury, Caiming Xiong, and Richard Socher. 2017 · 2017
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Shortcut-stacked sentence encoders for multi-domain inference
Yixin Nie and Mohit Bansal. 2017 · 2017
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Neupl: Attention-based semantic matching and pair-linking for entity disambiguation
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Inter-weighted alignment network for sentence pair modeling
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Bilateral multi-perspective matching for natural language sentences
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